On the quantification of heart rate variability spectral parameters using time-frequency and time-varying methods.
In the last decades, one of the main challenges in the study of heart rate variability (HRV) signals has been the quantification of the low-frequency (LF) and high-frequency (HF) components of the HRV spectrum during non-stationary events. At this regard, different time-frequency and time-varying approaches have been proposed with the aim to track the modification of the HRV spectra during ischaemic attacks, provocative stress testing, sleep or daily-life activities. The quantitative evaluation of power (and frequencies) of the LF and HF components has been approached in various ways depending on the selected time-frequency method. This paper is an excursus through the most common time-frequency/time-varying representation of the HRV signal with a special emphasis on the algorithms employed for the reliable quantification of the LF and HF parameters and their tracking.
Mainardi
Luca T
LT
Dipartimento di Bioingegneria, Politecnico di Milano, 20133 Milano, Italy. luca.mainardi@biomed.polimi.it
D000203:Activities of Daily Living; D000465:Algorithms; D001341:Autonomic Nervous System; D004562:Electrocardiography / Q000295:instrumentation / Q000379:methods*; D001330:Electronic Data Processing; D006801:Humans; D007511:Ischemia / Q000473:pathology; D015233:Models, Statistical; D008991:Monitoring, Physiologic / Q000379:methods; D015203:Reproducibility of Results; D012890:Sleep; D013997:Time Factors